COMPUTATIONAL ANALYSIS OF SUFFIXES AND BOUND STEMS OF THE GREEK LANGUAGE: A CRASH TEST WITH LINGUISTICA

 
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2010 (EL)
COMPUTATIONAL ANALYSIS OF SUFFIXES AND BOUND STEMS OF THE GREEK LANGUAGE: A CRASH TEST WITH LINGUISTICA (EN)

Karasimos, Athanasios; CENTRE OF MODERN GREEK DIALECTS DEPARTMENT OF PHILOLOGY UNIVERSITY OF PATRAS
Petropoulou, Evanthia; University of Patras

This paper attempts to participate in the ongoing discussion in search of a suitable model for the computational treatment of Greek morphology. Focusing on the unsupervised morphology learning technique, and particularly on the model of Linguistica by Goldsmith (2001), we attempt a computational treatment of specific word formation phenomena in Modern Greek (MG), such as suffixation and compounding with bound stems, through the use of various corpora. The inability of the system to receive any morphological rule as input, hence the term 'unsupervised', interferes to a great extent with its efficiency in parsing, especially in languages with rich morphology, such as MG, among others. Specifically, neither the rich allomorphy, nor the complex combinability of morphemes in MG appear to be treated efficiently through this technique, resulting in low scores of proper word segmentation (22% in inflectional suffixes and 13% in derivational ones), as well as the recognition of false morphemes. (EN)

Greek bound stems (EN)
Unsupervised Morphology Learning (EN)
Goldsmith (EN)
Linguistica (EN)
Greek derivational affixes, (EN)

Πανεπιστήμιο Πατρών (EL)
University of Patras (EN)

Αγγλική γλώσσα

2010-05-27


CENTRE OF MODERN GREEK DIALECTS, DEPARTMENT OF PHILOLOGY, UNIVERSITY OF PATRAS (EN)

Patras Working Papers in Linguistics; Τόμ. 1 (2009): Morphology; pp. 148-168 (EL)
Patras Working Papers in Linguistics; Τόμ. 1 (2009): Morphology; pp. 148-168 (EN)

Publication of an article in PWPL does not preclude later publication of an adapted version of the paper elsewhere. Later publications should be also referred to the publication in PWPL.The content of PWPL is licensed under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/).
Publication of an article in PWPL does not preclude later publication of an adapted version of the paper elsewhere. Later publications should be also referred to the publication in PWPL.The content of PWPL is licensed under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/).



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